2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
Manish Kumar Anand , Dept. of Computer Science, University of California, Davis, USA
Shawn Bowers , Dept. of Computer Science, Gonzaga University, USA
Bertram Ludascher , Dept. of Computer Science, University of California, Davis, USA
This demonstration presents an interactive provenance browser for visualizing and querying data dependency (lineage) graphs produced by scientific workflow runs. The browser allows users to explore different views of provenance as well as to express complex and recursive graph queries through a high-level query language (QLP). Answers to QLP queries are lineage preserving in that queries return sets of lineage dependencies (denoting provenance graphs), which can be further queried and visually displayed (as graphs) in the browser. By combining provenance visualization, navigation, and query, the provenance browser can enable scientists to more easily access and explore scientific workflow provenance information.
Manish Kumar Anand, Shawn Bowers, Bertram Ludascher, "Provenance browser: Displaying and querying scientific workflow provenance graphs", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 1201-1204, 2010, doi:10.1109/ICDE.2010.5447741